A 7-level inverter with less number of switches for grid-tied PV applications

BhanuTej, J. N.; Naidu, Rani Chinnappa

doi:10.19101/ijatee.2021.874090

Cited by 5 publications

(4 citation statements)

References 25 publications

(19 reference statements)

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“…The recognition of MLI is immense power quality, lesser order harmonic, reduced switching losses, along with enhanced electromagnetic interference [19]. These MLI produce a stepped inverter waveform through several input voltages connection in the input process with a suitable layout of power semiconductor devices [20]. The foremost intention of MLI is to preserve nearly sinusoidal output waveforms along with sustaining the power quality [21].…”

Section: Figure 1 Arrangement Of Multilevel Inverter (Mli)mentioning

confidence: 99%

Seven Level Symmetric Cascaded H-Bridge Multilevel Inverter for Solar Photovoltaic System

Dinakaran

Padmavathi

2023

EAI Endorsed Trans Energy Web

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Among different types of Non-Conventional Energy Sources, Solar Power has become highly prominent with exhausting suitable to innovation in Power Electronic Systems. The primary intention of the advised performance must limit the number of switches to enhance the output waveforms with a preferred harmonic profile. This topology moderates the estimate about switches, isolated DC origin, expenditure, and intensity of the circuit substantially as correlated to other topologies. The proposed method uses the MPPT approach to exploit the maximum energy from solar photovoltaic to load entirely. The Proposed method provides almost sinusoidal output waveforms by developing a few power switches. The SPV arrangement was simulated and constitution through SPV arrays, a DC-DC buck converter, and a sliding mode MPPT regulation. Based on the cascaded H-Bridge multilevel converters, The strong constraint enforced confined DC voltage sources considering separately Cascaded H-Bridge. This constitution converter worth along with diminishing the constancy based on the system. The system gives boosting voltages with improves the harmonic profile. Performance of the arrangement demonstrated in MATLAB SIMULINK as well as PROTEUS.

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Section: Figure 1 Arrangement Of Multilevel Inverter (Mli)mentioning

confidence: 99%

Seven Level Symmetric Cascaded H-Bridge Multilevel Inverter for Solar Photovoltaic System

Dinakaran

Padmavathi

2023

EAI Endorsed Trans Energy Web

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“…Alternative energy sources have recently attracted a lot of interest, including photovoltaic (PV), hydro, fuel, and wind power generation systems. To fulfill the growing energy demand and stop climate change, the usage of renewable energy has been accelerated swiftly [1] [2].…”

Section: Introductionmentioning

confidence: 99%

“…A power electronic interface between the source and the load is suggested to enable output voltage management [2] while also improving power quality (PQ) to address the voltage imbalance. The recommended method is distinctive in that it uses a multilayer inverter to offer a dual benefit.…”

Section: Introductionmentioning

confidence: 99%

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Cascade feedforward neural network and deep neural network controller on photovoltaic system with cascaded multilevel inverters: Comparison on standalone and grid integrated system

Mailugundla¹,

Tegampure²

2022

J. Mechatron. Electr. Power Veh. Technol.

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The introduction of a micro-grid-based power generation network will help to meet the demands of consumers while reducing environmental impact. Several industrialized and emerging countries allocate considerable resources to renewable energy-based power generation and invest significant sums of money in this area. This study examines the challenges involved with electricity generation through photovoltaic (PV) systems and the integration of the same with the grid to mitigate power quality issues and improve the power factor for various loading conditions. An innovative multilayer inverter for grid-connected PV systems has been developed to enhance the voltage profile and resulted in a drop in total harmonic distortion (THD). A cascade multilevel inverter (associated with a grid-integrated PV system and managed using multiple innovative artificial intelligence controllers) was developed in this research project. Various advanced intelligent controllers, such as cascade feedforward neural networks (CFFNN) and deep neural networks (DNN), have been analyzed under various operating situations and observed that the THD of voltage, current at the grid, and the load is less than 3 % as per the IEEE 519 standards along with this power factor is maintained nearly unity for the grid-connected system. The quality of power in terms of voltage, frequency, total harmonics distortion, and power factor are improved by using a novel deep neural network algorithm in a cascaded multilevel inverter and verified according to IEEE 1547 and IEEE 519 standards to determine the efficacy of the proposed system.

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